Machine Learning Introduction
Machine Learning is essentially to make predictions or behaviors based on data. Given a Machine Learning System , it will do a certain behavior or make predictions based on data.

The data for a Machine Learning System entirely depends on the problem to be solved. Different problems, different datasets.

The desired output usually falls into one of these categories:

prediction

clustering

classification

regression

recommendation

Some practical examples of problems that may be approached with Machine Learning algorithms are: